Cable fault localization using instantaneous frequency estimation in gaussian-enveloped linear chirp reflectometry

Chun Ku Lee, Ki Seok Kwak, Tae Sung Yoon, Jin Bae Park

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This paper presents an application of a cable fault localization using an instantaneous frequency (IF) estimation in the Gaussian-enveloped linear chirp (GELC) reflectometry. The GELC reflectometry sends a GELC signal into a cable and measures the reflected signals from the faults. A fault distance is calculated by the estimated time delay between the incident and reflected signals. The cross-correlation method for estimating time delay can be affected by the propagation characteristics of the cable and this results in the time offset in the time delay estimation. To reduce the time offset, we propose an IF-estimation-based fault-localization method. The proposed method uses the statistical-model-based detection with the hidden Markov model and the constrained Kalman filtering for estimating the IF of the GELC. We can obtain the time delay between the incident and reflected signals by calculating the time delay between the center frequencies corresponding to the incident and reflected signals, respectively. Experimental results show that the proposed method estimates the accurate fault distance without the compensation term for the time offset. Therefore, the proposed method is an appropriate method for estimating the fault localization in a cable.

Original languageEnglish
Article number6293887
Pages (from-to)129-139
Number of pages11
JournalIEEE Transactions on Instrumentation and Measurement
Volume62
Issue number1
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

Frequency estimation
chirp
cables
Time delay
Cables
time lag
estimating
chirp signals
Correlation methods
Hidden Markov models
cross correlation
propagation
estimates

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

@article{939d9455c0b14b9e87f1326bf146722d,
title = "Cable fault localization using instantaneous frequency estimation in gaussian-enveloped linear chirp reflectometry",
abstract = "This paper presents an application of a cable fault localization using an instantaneous frequency (IF) estimation in the Gaussian-enveloped linear chirp (GELC) reflectometry. The GELC reflectometry sends a GELC signal into a cable and measures the reflected signals from the faults. A fault distance is calculated by the estimated time delay between the incident and reflected signals. The cross-correlation method for estimating time delay can be affected by the propagation characteristics of the cable and this results in the time offset in the time delay estimation. To reduce the time offset, we propose an IF-estimation-based fault-localization method. The proposed method uses the statistical-model-based detection with the hidden Markov model and the constrained Kalman filtering for estimating the IF of the GELC. We can obtain the time delay between the incident and reflected signals by calculating the time delay between the center frequencies corresponding to the incident and reflected signals, respectively. Experimental results show that the proposed method estimates the accurate fault distance without the compensation term for the time offset. Therefore, the proposed method is an appropriate method for estimating the fault localization in a cable.",
author = "Lee, {Chun Ku} and Kwak, {Ki Seok} and Yoon, {Tae Sung} and Park, {Jin Bae}",
year = "2013",
month = "1",
day = "1",
doi = "10.1109/TIM.2012.2212514",
language = "English",
volume = "62",
pages = "129--139",
journal = "IEEE Transactions on Instrumentation and Measurement",
issn = "0018-9456",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

Cable fault localization using instantaneous frequency estimation in gaussian-enveloped linear chirp reflectometry. / Lee, Chun Ku; Kwak, Ki Seok; Yoon, Tae Sung; Park, Jin Bae.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 62, No. 1, 6293887, 01.01.2013, p. 129-139.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Cable fault localization using instantaneous frequency estimation in gaussian-enveloped linear chirp reflectometry

AU - Lee, Chun Ku

AU - Kwak, Ki Seok

AU - Yoon, Tae Sung

AU - Park, Jin Bae

PY - 2013/1/1

Y1 - 2013/1/1

N2 - This paper presents an application of a cable fault localization using an instantaneous frequency (IF) estimation in the Gaussian-enveloped linear chirp (GELC) reflectometry. The GELC reflectometry sends a GELC signal into a cable and measures the reflected signals from the faults. A fault distance is calculated by the estimated time delay between the incident and reflected signals. The cross-correlation method for estimating time delay can be affected by the propagation characteristics of the cable and this results in the time offset in the time delay estimation. To reduce the time offset, we propose an IF-estimation-based fault-localization method. The proposed method uses the statistical-model-based detection with the hidden Markov model and the constrained Kalman filtering for estimating the IF of the GELC. We can obtain the time delay between the incident and reflected signals by calculating the time delay between the center frequencies corresponding to the incident and reflected signals, respectively. Experimental results show that the proposed method estimates the accurate fault distance without the compensation term for the time offset. Therefore, the proposed method is an appropriate method for estimating the fault localization in a cable.

AB - This paper presents an application of a cable fault localization using an instantaneous frequency (IF) estimation in the Gaussian-enveloped linear chirp (GELC) reflectometry. The GELC reflectometry sends a GELC signal into a cable and measures the reflected signals from the faults. A fault distance is calculated by the estimated time delay between the incident and reflected signals. The cross-correlation method for estimating time delay can be affected by the propagation characteristics of the cable and this results in the time offset in the time delay estimation. To reduce the time offset, we propose an IF-estimation-based fault-localization method. The proposed method uses the statistical-model-based detection with the hidden Markov model and the constrained Kalman filtering for estimating the IF of the GELC. We can obtain the time delay between the incident and reflected signals by calculating the time delay between the center frequencies corresponding to the incident and reflected signals, respectively. Experimental results show that the proposed method estimates the accurate fault distance without the compensation term for the time offset. Therefore, the proposed method is an appropriate method for estimating the fault localization in a cable.

UR - http://www.scopus.com/inward/record.url?scp=84871006497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871006497&partnerID=8YFLogxK

U2 - 10.1109/TIM.2012.2212514

DO - 10.1109/TIM.2012.2212514

M3 - Article

VL - 62

SP - 129

EP - 139

JO - IEEE Transactions on Instrumentation and Measurement

JF - IEEE Transactions on Instrumentation and Measurement

SN - 0018-9456

IS - 1

M1 - 6293887

ER -